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Custom Datasets and Views documentation. |
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The Spice.ai platform comes pre-loaded with a variety of community datasets.
In addition, you can define and create your own custom and private Datasets and Views, which can then be queried with SQL, cached in Spice Firecache, and published publicly to be shared with others.
To define a dataset, first ensure your Spice app is connected to a GitHub repository, then add a dataset manifest file to the GitHub repository in the .spice/datasets
path.
For example:
# .spice/datasets/recent_blocks.yml
name: eth.recent_blocks
type: append
firecache:
enabled: true
trigger: number
time_column: timestamp
Once the manifest file is committed to the GitHub repository, navigate to the Datasets section. The newly defined dataset will appear in the datasets list.
List of synced Datasets.
Click the dataset Deploy button. Because this dataset was Firecache enabled, the firecache status will now turn to Ready.
Deployed dataset eth.recent_blocks is now firecache Ready.
Clicking the dataset will show its details along with it's deployments.
Dataset details page.